A) Rooms and Nav. Equip. Regression Statistics 0.82731 Multiple R 0.68445 R Squa

Question

A) Rooms and Nav. Equip. Regression Statistics 0.82731 Multiple R 0.68445 R Square 0.60030 Adjusted R Square Standard Error 37.40252 Observations ANOVA SSS MS F Significance Fl Regression 4 45515.77 11378.94 8.13 0.00 107 Residual 15 20984.23 1398.95 Total 66500.00 Coefficients Standard Error t Stat value Lower 95% Upper 95% 120.50886 82.22254 1.46564 0.16339 54,74434. 295.76205 Intercept 7.46415 Rooms 12.24022 0.60981 0.55112 18.62526 33.55355 -1.7783 -0.33084 0.7179 2.47713 0.02564 -0.02482 2.82719 5.81463 Length 1.40160 2.01711 0.06195 0.16025 Nav. Equip 0.35408 0.22411 1.57995 0.13497 0.12360 0.83176

Explanation / Answer

Observe the last table with p-values,

p-value(age) = 0.02564

p-value(length) = 0.06195

This both p-values are less than 0.10( level of signi), Therefore , This two corresponding variables are to be significantly helping to predict the price of a yacht,

Answer : C) Age and length

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